stock

Introduction to DevOps | DevOps course Pay After Placement in 2025

• What is DevOps? Understanding the core concept of DevOps, its goals, and how it improves collaboration and efficiency between development and operations teams.
• DevOps Culture: Emphasizing collaboration, communication, and shared responsibilities between developers, testers, and IT operations teams.
• DevOps Lifecycle: Overview of the full DevOps lifecycle, from planning and coding to building, testing, releasing, deploying, and monitoring.

DevOps Principles and Practices

• Continuous Integration (CI): Automating the process of integrating code changes into a shared repository, often using version control systems like Git.
• Continuous Delivery (CD): Automating the delivery pipeline so that software can be released to production or staging environments with minimal manual intervention.
• Infrastructure as Code (IaC): Managing infrastructure using code and automation tools rather than manual configuration, allowing for reproducibility and consistency.
• Monitoring and Logging: The importance of proactive monitoring of applications and infrastructure, using tools like Prometheus, Grafana, ELK stack, and Datadog.
• Collaboration and Communication: Emphasizing communication between teams (development, QA, operations) to ensure that the feedback loop is short and constant.

Version Control Systems (VCS)

• Git Basics: Introduction to Git, a widely-used version control system, and GitHub/GitLab/Bitbucket for repository hosting and collaboration.
• Branching and Merging: How to use branches to develop features and merge code in a collaborative environment.

Continuous Integration (CI) and Continuous Delivery (CD)

• CI/CD Pipeline: Overview of how the CI/CD pipeline automates the process of building, testing, and deploying software.
• Popular CI/CD Tools:
  • Jenkins: Widely used for automating parts of the software development process like building and testing.
  • GitLab CI/CD: Integrated CI/CD tools within the GitLab platform.
  • CircleCI, Travis CI, Azure DevOps.
• Pipeline Configuration and Management: How to configure and manage pipelines for automating testing, building, and deploying applications.

Infrastructure Automation

• Infrastructure as Code (IaC): Introduction to IaC tools that allow infrastructure management through code.
• Popular IaC Tools:
  • Terraform: A widely used IaC tool for provisioning cloud infrastructure in a declarative manner.
  • Ansible: Automation tool for configuration management, application deployment, and task automation.
  • Chef and Puppet: Tools for automating server setup and configuration.
• Cloud Infrastructure: Working with public cloud services like AWS, Azure, and Google Cloud Platform to automate cloud resource provisioning.

Monitoring and Logging in DevOps

• Docker: Introduction to Docker for containerization, which allows you to package applications and their dependencies into a container that can run anywhere.
• Kubernetes: An open-source container orchestration tool that automates the deployment, scaling, and management of containerized applications.
• Containerization Best Practices: Understanding the benefits and challenges of containerizing applications, including container images, registries, and orchestration.
• Docker Compose: A tool to define and run multi-container Docker applications, useful for local development.

Containerization and Orchestration

• Monitoring Tools: Learning about monitoring tools and how they help in real-time observability of applications, infrastructure, and services.
  • Prometheus and Grafana: Widely used open-source tools for monitoring and visualization.
  • Datadog: A SaaS-based monitoring and analytics platform for cloud-scale applications.
  • New Relic and Dynatrace.
• Logging: Understanding the importance of logging in DevOps and the tools used to aggregate and analyze logs, such as ELK Stack (Elasticsearch, Logstash, Kibana).
• Alerting: Setting up automated alerts based on metrics and logs to notify teams of potential issues or failures.

Cloud Platforms and DevOps

• Cloud Computing Basics: Introduction to cloud platforms and how they support DevOps practices (scalability, flexibility, and cost-efficiency).
• Popular Cloud Platforms:
  • AWS: Amazon Web Services, a leading cloud platform used in DevOps.
  • Azure DevOps: A set of DevOps tools provided by Microsoft Azure.
  • Google Cloud Platform (GCP): Google’s cloud infrastructure for hosting and managing applications.
• Cloud-Native Applications: Developing and deploying applications that are optimized for cloud environments using services like containerization, auto-scaling, and serverless computing.

DevOps Security (DevSecOps)

• Security in DevOps: Integrating security practices into the DevOps pipeline to ensure that security is maintained at every stage of development and deployment.
• Automated Security Testing: Using automated tools for vulnerability scanning and security checks as part of CI/CD pipelines.
• Compliance and Auditing: Ensuring that applications meet regulatory and organizational security standards.

DevOps Best Practices and Methodologies

• Agile and Scrum: Integrating DevOps practices within agile methodologies for faster and more flexible software delivery.
• Collaboration and Communication: Improving team communication using Slack, Microsoft Teams, or other collaboration tools.
• Automation First Culture: Emphasizing the need to automate everything possible, from infrastructure provisioning to testing, building, and deployment.
• Continuous Feedback Loop: Incorporating feedback at every stage of the DevOps pipeline to improve quality and accelerate release cycles.

DevOps Tools and Technologies

During DevOps classes, learners will gain exposure to a range of tools that help implement various stages of the DevOps lifecycle. Some of the most important tools and technologies used in DevOps include:

• • Version Control: Git, GitHub, GitLab, Bitbucket
  • CI/CD Tools: Jenkins, GitLab CI, CircleCI, Travis CI, Bamboo
  • Containerization: Docker, Podman
  • Orchestration: Kubernetes, Docker Swarm
  • IaC (Infrastructure as Code): Terraform, Ansible, Chef, Puppet
  • Monitoring and Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk
  • Cloud Platforms: AWS, Google Cloud, Microsoft Azure
  • Collaboration Tools: Jira, Confluence, Slack